Weekday AI
This role is for one of the Weekday's clients
Salary range:
$180k - $250k Experience: 6+
YoE
We are seeking an experienced
Full Stack Engineer
with a strong background in
AI-driven application development ,
Python ,
TypeScript , and
ETL pipelines . The ideal candidate will bring deep technical expertise across the stack, from designing and implementing scalable backend systems to creating intuitive and responsive frontends. You will play a key role in building, integrating, and optimizing systems that process and transform large datasets into actionable insights, leveraging AI technologies to deliver intelligent features. Requirements Key Responsibilities
End-to-End Development:
Design, develop, and deploy high-quality AI-driven web applications, ensuring performance, scalability, and maintainability across both frontend and backend. Backend Engineering:
Build robust server-side applications using
Python
(FastAPI, Flask, or Django), integrating with databases, APIs, and AI/ML models. Frontend Development:
Create engaging and responsive user interfaces with
TypeScript
(React.js, Next.js, or Angular), ensuring an exceptional user experience. AI Integration:
Collaborate with data scientists to integrate machine learning models into production systems, ensuring seamless data flow and model performance monitoring. ETL Pipeline Development:
Design, implement, and optimize
ETL processes
to efficiently collect, transform, and load large-scale datasets from multiple sources. API Design & Integration:
Develop and consume RESTful and GraphQL APIs for communication between services and external systems. Cloud Deployment:
Work with AWS, Azure, or GCP to deploy, scale, and monitor applications and ETL pipelines in production environments. Testing & Quality Assurance:
Implement automated testing strategies (unit, integration, and end-to-end) to maintain software quality and reliability. Collaboration:
Work closely with cross-functional teams including data engineering, AI research, product management, and UX design to deliver impactful features. Continuous Improvement:
Stay current with emerging technologies, frameworks, and AI trends to propose innovative solutions and improve development practices. Required Skills & Qualifications
Experience:
6–10 years in full stack development, with at least 2–3 years in AI-driven application projects. Programming Expertise:
Strong proficiency in
Python
for backend/API development and
TypeScript
for frontend applications. Frameworks:
Hands-on experience with Python frameworks (FastAPI, Flask, Django) and TypeScript-based frontend frameworks (React, Angular, or Next.js). ETL & Data Engineering:
Proven track record in designing and maintaining
ETL pipelines
and working with data processing tools (Airflow, dbt, or similar). Databases:
Proficiency in relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, or similar). AI/ML Integration:
Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch, or scikit-learn. Cloud & DevOps:
Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines, along with cloud services (AWS Lambda, S3, GCP BigQuery, Azure Data Factory). Problem Solving:
Strong analytical and troubleshooting skills, with the ability to address technical challenges in complex systems. Collaboration:
Excellent communication skills and a track record of working in agile, cross-functional teams. Preferred Qualifications
Prior experience with real-time data processing and streaming technologies (Kafka, Spark). Knowledge of MLOps best practices for model deployment and monitoring. Understanding of data governance, security, and compliance standards.
$180k - $250k Experience: 6+
YoE
We are seeking an experienced
Full Stack Engineer
with a strong background in
AI-driven application development ,
Python ,
TypeScript , and
ETL pipelines . The ideal candidate will bring deep technical expertise across the stack, from designing and implementing scalable backend systems to creating intuitive and responsive frontends. You will play a key role in building, integrating, and optimizing systems that process and transform large datasets into actionable insights, leveraging AI technologies to deliver intelligent features. Requirements Key Responsibilities
End-to-End Development:
Design, develop, and deploy high-quality AI-driven web applications, ensuring performance, scalability, and maintainability across both frontend and backend. Backend Engineering:
Build robust server-side applications using
Python
(FastAPI, Flask, or Django), integrating with databases, APIs, and AI/ML models. Frontend Development:
Create engaging and responsive user interfaces with
TypeScript
(React.js, Next.js, or Angular), ensuring an exceptional user experience. AI Integration:
Collaborate with data scientists to integrate machine learning models into production systems, ensuring seamless data flow and model performance monitoring. ETL Pipeline Development:
Design, implement, and optimize
ETL processes
to efficiently collect, transform, and load large-scale datasets from multiple sources. API Design & Integration:
Develop and consume RESTful and GraphQL APIs for communication between services and external systems. Cloud Deployment:
Work with AWS, Azure, or GCP to deploy, scale, and monitor applications and ETL pipelines in production environments. Testing & Quality Assurance:
Implement automated testing strategies (unit, integration, and end-to-end) to maintain software quality and reliability. Collaboration:
Work closely with cross-functional teams including data engineering, AI research, product management, and UX design to deliver impactful features. Continuous Improvement:
Stay current with emerging technologies, frameworks, and AI trends to propose innovative solutions and improve development practices. Required Skills & Qualifications
Experience:
6–10 years in full stack development, with at least 2–3 years in AI-driven application projects. Programming Expertise:
Strong proficiency in
Python
for backend/API development and
TypeScript
for frontend applications. Frameworks:
Hands-on experience with Python frameworks (FastAPI, Flask, Django) and TypeScript-based frontend frameworks (React, Angular, or Next.js). ETL & Data Engineering:
Proven track record in designing and maintaining
ETL pipelines
and working with data processing tools (Airflow, dbt, or similar). Databases:
Proficiency in relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, or similar). AI/ML Integration:
Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch, or scikit-learn. Cloud & DevOps:
Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines, along with cloud services (AWS Lambda, S3, GCP BigQuery, Azure Data Factory). Problem Solving:
Strong analytical and troubleshooting skills, with the ability to address technical challenges in complex systems. Collaboration:
Excellent communication skills and a track record of working in agile, cross-functional teams. Preferred Qualifications
Prior experience with real-time data processing and streaming technologies (Kafka, Spark). Knowledge of MLOps best practices for model deployment and monitoring. Understanding of data governance, security, and compliance standards.